Solving inverse problems with deep neural networks driven by sparse signal decomposition in a physics-based dictionary

Gaetan Rensonnet, Louise Adam, Benoit Macq

Deep neural networks (DNN) have an impressive ability to invert very complex models, i.e. to learn the generative parameters from a model's output. Once trained, the forward pass o…